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Coding OCR with machine learning from scratch in Python — no libraries or imports! (From Scratch #2)

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Our program uses the k-nearest neighbors algorithm to classify images from the mnist and fashion-mnist datasets, meaning it takes digits (1, 2, 3, …) and garments (shoe, t-shirt, …) and guesses what they are (classifies them). It can get up to 93% accuracy on mnist. I wanted this to be a simple introduction to machine learning for those not very familiar with it.
Because this is a recording of a live stream, you'll hear me sometimes talking to the chat.
What would you like to see me code from scratch next? Let me know in the comments! :)
Wishing you a swell day,
Vlad
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